A 1M-instruction dataset, generated by attributing real instructions to documents, users and motivations and then reversing the process over web documents, improves instruction-following benchmarks for 7B-14B models.
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From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding
A 1M-instruction dataset, generated by attributing real instructions to documents, users and motivations and then reversing the process over web documents, improves instruction-following benchmarks for 7B-14B models.